ECONOMICS-10 · Advanced · ENGLISH · PLANNED
State the question and assumptions, draw the model, analyse evidence and test competing explanations.
Study time is an initial activity estimate, excluding extra reading, revision and extended laboratory or project work. Videos and question bodies have not been produced by adding this outline.
Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Economics | International Trade, Development and Labour
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Sign in to save this learning pathPractical outcome: Compare gains and losses from trade in a toy two-country model.
Explain comparative advantage using a visual and one worked real-world example. Context: Compare gains and losses from trade in a toy two-country model. End with a prediction or check-for-understanding.
Explain factor endowments using a visual and one worked real-world example. Context: Compare gains and losses from trade in a toy two-country model. End with a prediction or check-for-understanding.
Explain economies of scale using a visual and one worked real-world example. Context: Compare gains and losses from trade in a toy two-country model. End with a prediction or check-for-understanding.
Explain trade costs using a visual and one worked real-world example. Context: Compare gains and losses from trade in a toy two-country model. End with a prediction or check-for-understanding.
Use the first concepts from this section. Compare gains and losses from trade in a toy two-country model. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain tariffs using a visual and one worked real-world example. Context: Compare gains and losses from trade in a toy two-country model. End with a prediction or check-for-understanding.
Explain quotas using a visual and one worked real-world example. Context: Compare gains and losses from trade in a toy two-country model. End with a prediction or check-for-understanding.
Explain trade agreements using a visual and one worked real-world example. Context: Compare gains and losses from trade in a toy two-country model. End with a prediction or check-for-understanding.
Explain global value chains using a visual and one worked real-world example. Context: Compare gains and losses from trade in a toy two-country model. End with a prediction or check-for-understanding.
Compare gains and losses from trade in a toy two-country model. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Comparative advantage, Factor endowments, Economies of scale and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Assess a fictional development programme with local constraints.
Explain poverty measurement using a visual and one worked real-world example. Context: Assess a fictional development programme with local constraints. End with a prediction or check-for-understanding.
Explain inequality using a visual and one worked real-world example. Context: Assess a fictional development programme with local constraints. End with a prediction or check-for-understanding.
Explain structural transformation using a visual and one worked real-world example. Context: Assess a fictional development programme with local constraints. End with a prediction or check-for-understanding.
Explain credit constraints using a visual and one worked real-world example. Context: Assess a fictional development programme with local constraints. End with a prediction or check-for-understanding.
Use the first concepts from this section. Assess a fictional development programme with local constraints. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain institutions using a visual and one worked real-world example. Context: Assess a fictional development programme with local constraints. End with a prediction or check-for-understanding.
Explain migration using a visual and one worked real-world example. Context: Assess a fictional development programme with local constraints. End with a prediction or check-for-understanding.
Explain infrastructure using a visual and one worked real-world example. Context: Assess a fictional development programme with local constraints. End with a prediction or check-for-understanding.
Explain programme evaluation using a visual and one worked real-world example. Context: Assess a fictional development programme with local constraints. End with a prediction or check-for-understanding.
Assess a fictional development programme with local constraints. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Poverty measurement, Inequality, Structural transformation and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Interpret synthetic employment data and competing wage explanations.
Explain labour supply using a visual and one worked real-world example. Context: Interpret synthetic employment data and competing wage explanations. End with a prediction or check-for-understanding.
Explain labour demand using a visual and one worked real-world example. Context: Interpret synthetic employment data and competing wage explanations. End with a prediction or check-for-understanding.
Explain human capital using a visual and one worked real-world example. Context: Interpret synthetic employment data and competing wage explanations. End with a prediction or check-for-understanding.
Explain compensating differentials using a visual and one worked real-world example. Context: Interpret synthetic employment data and competing wage explanations. End with a prediction or check-for-understanding.
Use the first concepts from this section. Interpret synthetic employment data and competing wage explanations. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain discrimination models using a visual and one worked real-world example. Context: Interpret synthetic employment data and competing wage explanations. End with a prediction or check-for-understanding.
Explain search frictions using a visual and one worked real-world example. Context: Interpret synthetic employment data and competing wage explanations. End with a prediction or check-for-understanding.
Explain wage bargaining using a visual and one worked real-world example. Context: Interpret synthetic employment data and competing wage explanations. End with a prediction or check-for-understanding.
Explain labour-market policy using a visual and one worked real-world example. Context: Interpret synthetic employment data and competing wage explanations. End with a prediction or check-for-understanding.
Interpret synthetic employment data and competing wage explanations. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Labour supply, Labour demand, Human capital and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Interpret synthetic employment data and competing wage explanations. Submit an original worked artifact, evidence or tests, assumptions and a reflection. Rubric: correctness, method, practical usefulness, reproducibility and communication. Self-reviewed, not certified.
6–12 balanced questions sampling every section of International Trade, Development and Labour, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Economic diagrams, synthetic datasets, calculations and evidence-based policy memos. Guided work leads to an independent attempt, with a diagram, explanation, trace, calculation or tested artifact. Question bodies are generated when opened in your private learning path. Programming submissions are stored as text; the platform does not execute submitted code.
Use original or appropriately licensed datasets. Practical science activities use models or supplied data unless a qualified supervisor has reviewed a physical experiment.
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